Einstein@Home Set To Break Petaflops Barrier
hazeii writes "Einstein@home, the distributed computing project searching for the gravitational waves predicted to exist by Albert Einstein, looks set to breach the 1 Petaflops barrier around midnight UTC tonight. Put into context, if it was in the Top500 Supercomputers list, it would be in at number 24. I'm sure there are plenty of Slashdot readers who can contribute enough CPU and GPU cycles to push them well over 1,000 teraflops — and maybe even discover a pulsar in the process."
From their forums: "At 14:45 we had 989.2 TFLOPS with an increase of 1.3 TFLOPS/h. In principle that's enough to reach 1001.1 TFLOPS at midnight (UTC) but very often, like yesterday, between 22:45 and 22:50 there occurs a drop of about 5 TFLOPS. So we will have very likely hit 1 PFLOPS in the early morning tomorrow. "
genuine question:
wouldn't it be wise for practical* reasons for people to offer more power to folding@home instead of einstein@home?
* = has more chances to help humanity ( for curing diseases etc. )
I don't think the poster is a native speaker and I fixed a bunch of other obvious typos... but missed that extra zero there.
HAL 7000, fewer features than the HAL 9000, but just as homicidal!
You're not actually producing bitcoin, you're just competing to win them. That is: nothing new is created by your participation in the bitcoin network, the best you can hope for is that you'll receive something which otherwise would've gone to someone else. It helps you personally, but is 0 sum for the world.
With einstein@home and folding@home, you are helping to solve big science problems. These problems will be solved faster with your help than without it. It is a net gain for science and humanity.
A zero is nothing, therefore you missed nothing.
rewriting history since 2109
The reason I found slashdot back in the 90s was due to the team performance on the distributed.net tasks. So they do turn those cycles into something useful!
Isn't Bitcoin's FLOPS number just an estimate, and a grossly inaccurate one based on the wrong assumptions that there's a single formula for estimating FLOPS with just integer performance, and the formula's applicable to all platforms?
You have to run the Linpack benchmark and report that.
And I guess no distributed computing platform is ever going to score in top 500 according to that benchmark. The communication performance between nodes is very important to most parallel algorithms. Any decent benchmark would take that into account. A real super computer has much faster communication between the nodes, than what you can achieve across the Internet. Both throughput and latency matters. There are some specific problems which can be split into parts that can be computed independently by nodes without communication between them, but most super computers are used for tasks, that do not fall into that class.
At some point I heard the rule of thumb, that when you are building a super computer, you divide your funds in three equal parts. One of those was to be spent on the interconnect. I don't recall what the other two were supposed to be spend on.
Do you care about the security of your wireless mouse?
At some point I heard the rule of thumb, that when you are building a super computer, you divide your funds in three equal parts. One of those was to be spent on the interconnect. I don't recall what the other two were supposed to be spend on.
Hookers and blow.
I think Folding@home uses its own specialized client. I've never used it, so I can't help you there. Most of the other distributed (grid) projects out there use the BOINC client. BOINC allows you to schedule processor time to when you want to run, allows the stoppage of distributed processes once CPU usage reaches a certain (user-definable) level, and all sorts of other things. I don't think Folding@home allows the BOINC client to connect, however.
I think what is happening (in your case) is the folding client is taking what you said quite literally, and treating the hyper-threaded cores as real cores. It filled up your 4 physical cores, causing your system to show 100% CPU usage while not utilizing your hyper-threaded cores. I think your OS and folding client are performing exactly as intended. If you truly want only two cores (plus their hyper-threaded cores) to fire, you'll either have to manually set your affinity on the folding tasks or simply tell the folding client to only use two cores.
You can try raising the issue in the help forums on Folding@home and see if they have a better solution.
I would like to contribute my spare CPU clock cycles, but without causing my CPU to speed up (in this case, with Intels SpeedStep) from the lowest setting at 800 MHz. Otherwise, my laptop gets hot and loud. How can I do that?
But he could have missed it to a higher degree of precision!
They say a little knowledge is a dangerous thing, but it's not one half so bad as a lot of ignorance. - Terry Pratchett
1 PFLOPS is an arbitrary threshold or milestone. It's not a barrier because nothing special happens at that point. The speed of light is a barrier. Even the speed of sound is a barrier. 10^n somethings per whatever is rarely if ever a barrier for any positive integer n.
2xGTX260 are in theory about 1.5TFLOPS so that's welcome fuel on the fire :)
You can also configure common settings using the BOINC preferences and Einstein@home preferences pages. It seems common to use "location" to set up different preferences for different hosts, e.g. I use "home" setting for machines which are only good for GPU work, "work" for CPU-only systems and the "default" setting for both CPU/GPU (plus "school" settings for experimentation).
Also AIUI the latest client will use all your GPUs as long as they have identical capabilities - so it should use both your GTX260's. You do have to twiddle the XML for stuff like mixed GPU usage, but I've never found the drivers stable enough for that to work well (at least on my ragtag fleet of PCs). I'd hazard a guess it would get tricky if you throw "GPU utilization" into the mix (i.e. running multiple work units on the same GPU, which can speed things up - see the benchmarks thread). Anyway, sounds like you're doing more advanced stuff after one night than anything I've attempted to date.
All your ghosts are just false positives.